title: Multi-dipole EEG source localization using particle swarm optimization.
abstract: The multi-dipole EEG source localization problem is (usually) highly nonlinear with a non-convex cost function. Moreover, the gray matter tissue is located in several disjunct regions in the head which leads to a non-continuous solution space. For solving this problem an efficient algorithm which can handle multi-source activities is needed. In this paper, a modified particle swarm optimization (MPSO) method is proposed to solve the multi-dipole EEG source localization. The method is tested on synthetic EEG signals generated from two strong active sources and a noisy background source. The results show that using the new method is a reliable choice when we deal with a strong multi-active source scenario, in which a single dipole source localization may fail.
authors.forename: Yazdan
authors.initials: Y
authors.lastname: Shirvany
authors.forename: Fredrik
authors.initials: F
authors.lastname: Edelvik
authors.forename: Mikael
authors.initials: M
authors.lastname: Persson
mesh_terms: D000465:Algorithms; D004569:Electroencephalography; D008962:Models, Theoretical